Node Classification On Amazon Photo 1
평가 지표
Accuracy
평가 결과
이 벤치마크에서 각 모델의 성능 결과
비교 표
| 모델 이름 | Accuracy |
|---|---|
| distilling-self-knowledge-from-contrastive | 94.36% |
| classic-gnns-are-strong-baselines-reassessing | 96.78 ± 0.23 |
| distilling-self-knowledge-from-contrastive | 94.12% |
| mixture-of-experts-meets-decoupled-message | 95.71±0.37 |
| classic-gnns-are-strong-baselines-reassessing | 96.10 ± 0.46 |
| classic-gnns-are-strong-baselines-reassessing | 96.60 ± 0.33 |
| inferring-from-references-with-differences | 95.05% |
| distilling-self-knowledge-from-contrastive | 93.75% |
| mixture-of-experts-meets-decoupled-message | 95.81±0.41 |
| mixture-of-experts-meets-decoupled-message | 95.46±0.24 |
| distilling-self-knowledge-from-contrastive | 93.83% |